Brain activation profiles in mTBI: Evidence from combined resting-state EEG and MEG activity
| Autor: | Michael G. Harrington, Mattia F. Pagnotta, Thao Tran, George Zouridakis, Xianghong Arakaki, Lianyang Li, David Strickland |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Brain activation Traumatic brain injury Electroencephalography Young Adult medicine Humans medicine.diagnostic_test Resting state fMRI Brain Magnetoencephalography Signal Processing Computer-Assisted Models Theoretical Control subjects medicine.disease Normative database nervous system Brain Injuries Case-Control Studies Resting state eeg Female Psychology Neuroscience psychological phenomena and processes |
| Zdroj: | EMBC |
| DOI: | 10.1109/embc.2015.7319994 |
| Popis: | In this study, we compared the brain activation profiles obtained from resting state Electroencephalographic (EEG) and Magnetoencephalographic (MEG) activity in six mild traumatic brain injury (mTBI) patients and five orthopedic controls, using power spectral density (PSD) analysis. We first estimated intracranial dipolar EEG/MEG sources on a dense grid on the cortical surface and then projected these sources on a standardized atlas with 68 regions of interest (ROIs). Averaging the PSD values of all sources in each ROI across all control subjects resulted in a normative database that was used to convert the PSD values of mTBI patients into z-scores in eight distinct frequency bands. We found that mTBI patients exhibited statistically significant overactivation in the delta, theta, and low alpha bands. Additionally, the MEG modality seemed to better characterize the group of individual subjects. These findings suggest that resting-state EEG/MEG activation maps may be used as specific biomarkers that can help with the diagnosis of and assess the efficacy of intervention in mTBI patients. |
| Databáze: | OpenAIRE |
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